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Related papers: In Situ Imaging of Parachute Textile Micro-Mechani…

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To enhance lifting-load estimation accuracy in industrial upper-limb assistive exoskeletons, this study proposes a machine learning-based approach using insole pressure sensors. Unlike traditional methods that rely on electromyography…

Systems and Control · Electrical Eng. & Systems 2026-01-27 Kaida Wu , Peihao Xiang , Chaohao Lin , Ou Bai

The classical continuum models used for the woven fabrics do not fully describe the whole set of phenomena that occur during the testing of those materials. This incompleteness is partially due to the absence of energy terms related to some…

Soft Condensed Matter · Physics 2016-04-18 Gabriele Barbagallo , Angela Madeo , Ismael Azehaf , Ivan Giorgio , Fabrice Morestin , Philippe Boisse

Thin viscous fluid threads falling onto a moving belt behave in a way reminiscent of a sewing machine, generating a rich variety of periodic stitch-like patterns including meanders, W-patterns, alternating loops, and translated coiling.…

Fluid Dynamics · Physics 2015-05-06 P. -T. Brun , Basile Audoly , Neil M. Ribe , Tom S. Eaves , John R. Lister

In this study, the analysis of the mechanical response of realistic fullerene-nanotube nanotruss networks with face-centered cubic geometry is performed by using molecular dynamics with reactive potentials. In particular, the mechanical…

Mesoscale and Nanoscale Physics · Physics 2017-07-04 Andrea Pedrielli , Simone Taioli , Giovanni Garberoglio , Nicola Pugno

We investigate the influence of microstructural traps on hydrogen diffusion and embrittlement in the presence of cyclic loads. A mechanistic, multi-trap model for hydrogen transport is developed, implemented into a finite element framework,…

Materials Science · Physics 2020-08-13 Rebeca Fernández-Sousa , Covadonga Betegón , Emilio Martínez-Pañeda

Knitted fabrics exhibit high flexibility due to their periodic loop structures formed by bent yarns. Under compressive loading, they develop three-dimensional (3D) wrinkling patterns that reflect nonlinear interactions between yarn…

Soft Condensed Matter · Physics 2025-12-18 Kotone Tajiri , Tomohiko G. Sano

We present pore-scale simulations of two-phase flows in a reconstructed fibrous porous layer. The three dimensional microstructure of the material, a fuel cell gas diffusion layer, is acquired via X-ray computed tomography and used as input…

Curved elastic shells can be fabricated through molding or by harnessing residual stresses. These shells often exhibit snap-through behavior and multistability when loaded. We present a unique way of fabricating curved elastic shells that…

Internally generated active stresses drive soft materials into architectures inaccessible to thermal self-assembly. We use a microtubule-based active fluid to assemble and irreversibly restructure actin-fascin networks. Subsequently, we…

Soft Condensed Matter · Physics 2026-05-13 Kyu Hwan Choi , Sattvic Ray , Reef Sweeney , Zvonimir Dogic , Sho C. Takatori

The mechanisms of deformation and failure of Cu/Nb nanolaminates manufactured by accumulated roll bonding were analysed using in-situ TEM mechanical tests. Dog-bone small-scale tensile specimens were prepared using a FIB-based technique…

Materials Science · Physics 2018-11-13 Z. Liu , M. A. Monclús , L. W. Yang , M. Castillo-Rodríguez , J. M. Molina-Aldareguía , J. LLorca

The dynamic properties of materials utilized in architecture or engineering applications can significantly affect their performance under dynamic or impact loading conditions. To evaluate such behavior, force transducers are commonly…

Signal Processing · Electrical Eng. & Systems 2024-10-15 Phichai Youplao , Hadi Nasbey , Akihiro Takita , Prin Nachaisit , Yusaku Fujii

Prior to macroscopic yielding, most materials undergo a regime of plastic activity that cannot be resolved in conventional bulk deformation experiments. In this pre-yield, or micro-plastic regime, it is the initial three dimensional defect…

Materials Science · Physics 2017-04-25 R. Maass , P. M. Derlet

Inertial lift forces are exploited within inertial microfluidic devices to position, segregate, and sort particles or droplets. However the forces and their focusing positions can currently only be predicted by numerical simulations, making…

Fluid Dynamics · Physics 2016-07-21 Kaitlyn Hood , Sungyon Lee , Marcus Roper

We explore the effects of surface tension and mobility models in simulations of grain growth using threshold dynamics algorithms that allow performing large scale simulations, while naturally capturing the Herring angle condition at…

Materials Science · Physics 2019-07-29 Tiago Salvador , Selim Esedoglu

In this paper synchrotron microtomography on Plasma Sprayed Tungsten (PS-W) is presented and discussed. PS-W is a challenging material for microtomography since it exhibits a random porous network at different length-scales (from nanometers…

Materials Science · Physics 2015-08-07 A. Zivelonghi , T. Weitkamp , A. Larrue , J-H. You

Many morphogenetic processes involve mechanical rearrangement of epithelial tissues that is driven by precisely regulated cytoskeletal forces and cell adhesion. The mechanical state of the cell and intercellular adhesion are not only the…

Cell Behavior · Quantitative Biology 2015-06-03 Kevin K. Chiou , Lars Hufnagel , Boris I. Shraiman

Under compressive stress, rock ``damage'' in the form of tensile microcracks is coupled to internal slip on microscopic interfaces, such as preexisting cracks and grain boundaries. In order to characterise the contribution of slip to the…

Geophysics · Physics 2022-11-23 Nicolas Brantut , Léo Petit

We use a minimal model for a dense suspension undergoing thickening and thinning to investigate microstructural changes in 2d simulations. Our simulations show that in steady flow the contact network contains distinct building blocks which…

Soft Condensed Matter · Physics 2026-04-15 William C. J. Buchholtz , Daniel L. Blair , Jeffrey S. Urbach , H. A. Vinutha , Emanuela Del Gado

Mechanical properties of porous SOFC electrodes are largely determined by their microstructures. Measurements of the elastic properties and microstructural parameters can be achieved by modelling of the digitally reconstructed 3D volumes…

Materials Science · Physics 2015-02-09 Zhangwei Chen , Xin Wang , Finn Giuliani , Alan Atkinson

We present a novel machine learning based surrogate modeling method for predicting spatially resolved 3D microstructure evolution of polycrystalline materials under uniaxial tensile loading. Our approach is orders of magnitude faster than…

Materials Science · Physics 2020-05-05 Anup Pandey , Reeju Pokharel